Martina Lerche

1.1k citations
11 papers · 736 · 1 hit paper · h-index 8

Impact in

Papers in

Martina Lerche

10 papers receiving 729 citations

Martina Lerche's Hit Papers

Democratising deep learning for microscopy with ZeroCostDL4Mic 2021 · 358 citations
3580+1+3Years since publication100200300

Peers

Martina Lerche
Comparison fields: 5 of 118
  • Biophysics 208
  • Structural Biology 31
  • Immunology and Allergy 85
  • Cell Biology 163
  • Media Technology 64
Replace Jaroslav Icha with:
Jaroslav Icha Germany
Tadamoto Isogai United States
Alexander S. Zhovmer United States
Oleg Milberg United States
Sara Hernández‐Pérez Finland
Anaïs Bouissou France
Ulrike Schnell United States
En Cai United States
Huw Colin‐York United Kingdom
Ana Mafalda Santos United Kingdom
Martina Lerche relative to Jaroslav Icha Germany Jaroslav Icha's profile →
Citations per field
00.5×1.5×2.1×
Jaroslav Icha · 1×
Citations per year

Countries citing papers authored by Martina Lerche

Since Specialization
Citations

This map shows the geographic impact of Martina Lerche's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martina Lerche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Lerche more than expected).

Fields of papers citing papers by Martina Lerche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martina Lerche. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martina Lerche. The network helps show where Martina Lerche may publish in the future.

Co-authors

The 25 scholars most cited alongside Martina Lerche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martina Lerche Line = papers co-authored together Martina Lerche links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Democratising deep learning for microscopy with ZeroCostDL4Mic
Hit paper breakdown →
2021358
2 201792
3 201883
4 201751
5 201947
6 201638
7 201536
8 202026
9 20203
10 19581
11 20251

About Martina Lerche

Martina Lerche is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Biophysics and Small Animals, having authored 11 papers that have together received 736 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Cellular Mechanics and Interactions (4 papers), 3D Printing in Biomedical Research (2 papers), Cell Image Analysis Techniques (1 paper), Cancer Research and Treatments (1 paper), Cancer Cells and Metastasis (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Biophysics (208 citations), Structural Biology (31 citations), Immunology and Allergy (85 citations), Cell Biology (163 citations) and Media Technology (64 citations). Martina Lerche has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Johanna Ivaska, Camilo Guzmán, Guillaume Jacquemet, Emilia Peuhu, Maria Georgiadou, Aleksi Isomursu, Lauri Eklund, Pranshu Sahgal, Johanna Lilja and Ilkka Miinalainen. Their work appears in journals such as The Journal of Cell Biology, iScience, Stem Cell Reports, Experimental Cell Research and Nanoscale.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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